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Mathematical optimization model for remanufacturing scheduling with sequence-dependent setup times

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Publié dans:Acta Logistica vol. 12, no. 1 (Mar 2025), p. 53-63
Auteur principal: Elouchdi, Mouna
Autres auteurs: Belkaid, Faycal, Benmamoun, Zoubida
Publié:
4S go, s.r.o.
Sujets:
Work stations
Time dependence
Linear programming
Integer programming
Printed circuit boards
Production scheduling
Remanufacturing
Manufacturers
Economic models
Manufacturing
Circular economy
Climate change
Optimization models
Scheduling
Sustainable development
Production lines
Consumption
Supply chains
Energy efficiency
Mixed integer
Cost control
Setup times
Production methods
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Résumé:Remanufacturing is a key player in supporting sustainable manufacturing methods, a regenerative economic model, and the equitable allocation of resources in the ever-evolving environment of sustainable development. Our study tackles the scheduling difficulties in remanufacturing to facilitate sustainable practices. Specifically, we concentrate on scheduling operations on a mixed assembly/disassembly line, taking into account sequence-dependent setup time to minimize makespan, considering its substantial impact on remanufacturing efficiency. This work explores a crucial scheduling problem in hybrid production lines, concentrating on a mixed-flow job-shop structure. These systems provide an NP-hard scheduling challenge since they have two types of operations that need to be processed through the same group of workstations in different directions. Our main goal is to reduce the makespan or the maximum amount of time it takes to complete all the jobs. A mixed integer linear programming model (MILP) specifically addresses the complexities of this remanufacturing scheduling problem. Our goal in using this method is to find the best solutions for different cases while giving priority to processing efficiency. Extensive testing results confirm the effectiveness of our proposed mathematical framework, showing it can consistently provide outstanding performance in various scenarios. In this work, the implementation of modified scheduling methodologies to meet sustainable development goals expands the study of remanufacturing scheduling. It also highlights areas that may require more research, such as integrating logistics and improving the energy efficiency of remanufacturing processes.
ISSN:1339-5629
DOI:10.22306/al.v12i1.584
Source:Engineering Database